Senior Data Engineer - Databricks / SQL / Snowflake

Senior Data Engineer Databricks / SQL / Snowflake



Location: Spring, Texas 100% Onsite



Duration: 2+ Years Expected



Interview: Virtual and in-person meet up round







Recruiter Notes

• Local candidates required with DL copy
• LinkedIn with location (before 2022)
• Recent or recent second project must be at the current location
• Strong Databricks + SQL experience is essential.
• Snowflake is highly preferred.
• Oil & Gas / Energy / Upstream experience is a strong plus.
• AI/GenAI exposure is beneficial but not the primary requirement.

Project Lifecycle

• The initial development phase is expected to run for approximately one year . Once the AFE data product moves into production, the Data Engineer will transition with the solution into the organization responsible for its ongoing support, maintenance, and enhancements.
• The overall engagement is therefore expected to continue for approximately two years or potentially longer .

Position Overview

Our client is seeking an experienced Senior Data Engineer to join a small, high-impact team building a new Authorization for Expenditure (AFE) data product supporting Project Nexus , an upstream data harmonization initiative.

The engineer will design and develop a data solution that integrates multiple enterprise datasets to provide a comprehensive view of major capital project spending, including budgeted/projected expenditure, actual expenditure, spending variances, and the business factors driving those variances .

The ideal candidate will have strong hands-on experience with Databricks, Databricks Notebooks, and advanced SQL . Snowflake experience is highly preferred, as the semantic/data consumption layer will reside in Snowflake. Exposure to AI-enabled data engineering or Databricks AI capabilities is a plus.

Required Qualifications

• Strong professional experience as a Data Engineer .
• Advanced hands-on experience with Databricks .
• Strong development experience with Databricks Notebooks .
• Advanced SQL skills.
• Experience developing and maintaining enterprise-scale data pipelines.
• Strong experience integrating data from multiple heterogeneous sources.
• Experience with data transformation, data modeling, and data quality .
• Ability to troubleshoot and optimize complex data workloads.
• Strong communication and collaboration skills.
• Ability to work effectively within a small, high-impact engineering team .
• Must be able to work onsite in Spring, Texas, 5 days per week .

Other Qualifications

• Hands-on Snowflake experience.
• Experience integrating Databricks with Snowflake .
• Experience with semantic/data consumption layers .
• Experience working with financial, budgeting, expenditure, or capital project data.
• Experience in Oil & Gas, Energy, or Upstream environments - Preferred .
• Experience with enterprise-scale data platforms.
• Exposure to AI, Generative AI, or ML-enabled data engineering .
• Experience using AI capabilities available within Databricks .
• Experience supporting production data products after initial development.